- An interdisciplinary degree combining traditional mathematical techniques with exciting contemporary applications in the field of computer science
- Develops practical skills in the specification, design and implementation of computer systems, as well as an understanding of the theory behind them
- Our world-class teaching is informed by active, up-to-the-minute research of international standing in developing fields including machine learning, artificial intelligence, and nature-inspired computation
- Opportunity to gain industry experience, available to all students through summer placements or a year-long ‘Industrial Placement’
- Excellent teaching links with computer-related industry partners such as IBM, The Met Office, NATS and Motorola
6th in the Russell Group for student experience
The Times and The Sunday Times Good University Guide 2022.
Excellent facilities spanning a wide range of machine types and software ecosystems
Partner to the Alan Turing Institute
Entry requirements (typical offer)
|Qualification||Typical offer||Required subjects|
|A-Level||AAA – AAB||GCE AL Maths grade A Candidates may offer GCE AL Maths, Pure Maths or Further Maths.|
|IB||36/666-34/665||HL6 in Mathematics (Analysis and Approaches)|
|BTEC||DDD||Applicants studying a BTEC Extended Diploma will also require GCE AL Maths grade A|
|GCSE||4/C||Grade 4/C in GCSE English Language|
|Access to HE||30 L3 credits at Distinction Grade and 15 L3 credits at Merit Grade||15 L3 credits at Distinction Grade in an acceptable Mathematics subject area|
Specific subject requirements must still be achieved where stated above. Find out more about contextual offers.
|Other UK, EU and International equivalences|
NB General Studies is not included in any offer.
Grades advertised on each programme webpage are the typical level at which our offers are made and provide information on any specific subjects an applicant will need to have studied in order to be considered for a place on the programme. However, if we receive a large number of applications for the programme we may not be able to make an offer to all those who are predicted to achieve/have achieved grades which are in line with our typical offer. For more information on how applications are assessed and when decisions are released, please see: After you apply
International Foundation programmes
Preparation for entry to Year 1 of an undergraduate degree:
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
This year gives you a solid foundation in computer science and mathematics. It includes an introduction to procedural and object-oriented programming, system architectures, computing for the web, professional issues of computing, and explores some of the boundaries of scientific knowledge in the field. Modules on vectors and matrices, and probability and discrete mathematics provide the mathematical underpinning of later modules in computer science and artificial intelligence.
The second year includes exposure to rigorous software development and software engineering best practice, together with information systems. Research-led modules in machine learning and artificial intelligence, and applied computing across science and industry give the distinctive flavour of this degree. Options this year include modules in algorithms, graphics, networks and IT management. Up to 30 credits of elective (free choice) modules can be taken from any discipline in the University subject to approval, pre-requisites, timetabling and availability.
For more information about the ‘with Year in Industry’ programme, please see the course variants.
Up to 30 credits of elective (free choice) modules can be taken from any discipline in the University subject to approval, pre-requisites, timetabling and availability.
In your final year everything you have learnt in your Computer Science studies comes together in a significant piece of individual project work. The project, in which you’ll develop a substantial software system for scientific and/or business use. This forms the core of the final year and allows you to develop your skills and interests in computer science. The wide range of optional modules in your third year allows you to tailor your degree towards your specific interests. Up to 30 credits of elective (free choice) modules can be taken from any discipline in the University subject to approval, pre-requisites, timetabling and availability.
UCAS code - GG4C
This programme includes a year’s paid industrial placement in your third year. You will work on a substantial project and gain first-hand experience of the practical application of computer science. This placement will give you invaluable work experience, significantly enhancing your employability, whilst developing your practical skills.
Does it count towards my degree?
Yes, your industrial placement year counts as 120 credits of your degree.
How does it affect my tuition fee?
During this year you will pay a reduced tuition fee. In 2018/19 the fee was £1,850 (or 20 per cent of the maximum fee for that year). Visit the Tuition Fees page for more information.
Is the placement paid?
Yes, placements are paid with salaries varying according to role and employer
How do I apply?
You can apply directly through UCAS using the UCAS code above for BSc Computer Science with Industrial Placement.
Preparation and support
We have excellent links with employers and can provide assistance in finding suitable employment. Professional experience not only develops your CV but helps you to determine your career aspirations.
Tuition fees for 2023 entry
UK students: £9,250 per year
International students: £24,500 per year
The University of Exeter has over £2.5 million in scholarships available for students applying to study with us in 2023 - including our Global Excellence Scholarships* for international fee paying students and financial support for students from disadvantaged backgrounds, lower income households and other under-represented groups to help them access, succeed and progress through higher education.
* Terms and conditions apply. See online for details.
Learning and teaching
Lectures, seminars and workshops
All our degrees involve a combination of teaching methods, including lectures, seminars, workshops and tutorials. Most modules in mathematics involve three one-hour lectures per week, so you would typically have 12 lectures per week. In the first year there are tutorial classes for each module every week and example classes every fortnight, except for modules involving computing or project work. Thus in the first year you would typically have around 16 contact hours per week.
In addition to this, you are expected to spend about 20 hours per week in private study. The tutorials and exercise classes enable you to discuss the lecture material and coursework problems. Further support is available at lunchtime mathematics surgeries run by postgraduate students. You are encouraged to discuss any mathematical problems or questions that may arise with the lecturer. All lecturers have advertised office hours when they are available to provide help. Working through examples and solving problems is a vital part of learning mathematics so coursework is set in each module.
Virtual learning environment
We're actively engaged in introducing new methods of learning and teaching, including increasing use of interactive computer-based approaches to learning through our virtual learning environment, where the details of all modules are stored in an easily navigable website. You can access detailed information about modules and learning outcomes and interact through activities such as the discussion forums.
A research and practice led culture
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field and you will become actively involved in a research project yourself. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.
Assessment for all degrees is through a combination of examinations and coursework. Examinations are the more important part of the process, but the assessed coursework will help you to work steadily throughout your degree. This is particularly important in Mathematics where the subject matter develops logically from fairly simple beginnings. Written examinations for mathematics modules are held in January and May/June of the first and second years and in May/June of each subsequent year. Most modules also have either a mid-term test or coursework contributing to the assessment.
Coursework typically contributes 20% to the assessment of all modules. In the third year several modules allow you to undertake further coursework to contribute to your overall degree classification.
Exeter has an excellent reputation with graduate recruiters and a strong employment record. Our graduates excel in specialist computer science fields and across a broad range of other sectors.
We offer a very wide range of opportunities for you to develop the skills employers are looking for, including industrial placements and study abroad. Visit our Careers and employability webpages to find out more.
Mathematics has long influenced the development of computer science, and the rapid growth of computing power has led to the development of techniques and algorithms which have in turn influenced the mathematics community, making this joint degree a natural combination. In addition graduates from the programme are well prepared for careers requiring either or both of the disciplines.
There has never been a greater need for experts in computing. From the complex IT systems used in modern businesses to sophisticated online gaming experiences, computers are a familiar characteristic of the modern world. This makes for a fascinating range of careers that require the technical expertise of a computer scientist (someone who understands the science behind computer technology).
As an Exeter Computing graduate you may find yourself working with business IT systems, the web, mobile communications or games technology, or in the management and development of the safety-critical systems that control aeroplanes, trains and nuclear power stations.
During your time with us you’ll develop your problem-solving skills, your technical competence and your ability to analyse and reflect on issues relating to computer technology. These are essential skills whether you wish to work for a leading computing company developing new technologies, enter the world of business and finance, or if you would like to use your degree in a different role where you can use your abilities to analyse and solve problems.
The broad-based skills acquired during your degree will give you an excellent grounding for a wide variety of careers, not only those related to Computer Science but also in wider fields. Examples of roles recent graduates are now working as include:
- Academic research
- Business Analysts, Architects or Systems Designer
- Cyber Security Professional
- Financial Accounts Manager
- IT Network Professional
- IT Quality and Testing Professional
- Software Developer
As part of the three-year degree, you can choose to take an optional Commercial and Industrial Experience module during the vacation before the third year (subject to availability). This very rewarding opportunity allows you to gain paid work experience while earning credits towards your degree programme. Following the placement you can report on your experience which, alongside a report from the employer, enables you to count your experience as a third-year optional module. We have excellent links with employers and can provide assistance in finding suitable employment.